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碳交易机制下考虑需求响应和智能软开关融合的配电网双层优化

刘晓明 曹阔 陈海 陈育龙 汪兴旺

电力系统及其自动化学报2026,Vol.38Issue(8):26-35,10.
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电力系统及其自动化学报2026,Vol.38Issue(8):26-35,10.DOI:10.196535/j.cnki.csu-epsa.001756

碳交易机制下考虑需求响应和智能软开关融合的配电网双层优化

Bi-level Optimization of Distribution Network Considering Demand Response and Soft Open Point Integration Under Carbon Trading Mechanism

刘晓明 1曹阔 1陈海 1陈育龙 1汪兴旺2

作者信息

  • 1. 智能配用电装备与系统全国重点实验室,河北工业大学电气工程学院,天津 300401
  • 2. 浙江聚弘凯智能电气股份有限公司,杭州 311300
  • 折叠

摘要

Abstract

Aimed at the problems such as power fluctuations,voltage instability and high operating costs caused by the integration of distributed generation into distribution network,a bi-level optimization strategy integrating demand re-sponse and soft open point in distribution network is proposed.First,a stepped carbon trading mechanism is adopted,and a bi-level optimization model considering demand response and soft open point is constructed.The lower-level mod-el aims to minimize the voltage deviation,while the upper-level model aims to minimize the comprehensive operating cost of the system.Second,a hierarchical optimization method is applied,in which the optimal voltage deviation ob-tained from the lower-level model is added by a small value and used as a stability constraint for the upper-level model.Third,by introducing auxiliary variables and second-order cone relaxation technology,the non-convex distribution net-work optimization model is transformed into a mixed-integer second-order cone programming model and solved.Based on the aforementioned research,case studies are conducted on a IEEE 33-node distribution system.Results demon-strate that the proposed strategy not only ensures system voltage stability but also achieves low-carbon economic opera-tion.

关键词

阶梯型碳交易/需求响应/智能软开关/双层优化策略/二阶锥规划

Key words

stepped carbon trading/demand response/soft open point/bi-level optimization strategy/second-order cone planning

分类

信息技术与安全科学

引用本文复制引用

刘晓明,曹阔,陈海,陈育龙,汪兴旺..碳交易机制下考虑需求响应和智能软开关融合的配电网双层优化[J].电力系统及其自动化学报,2026,38(8):26-35,10.

基金项目

国家自然科学基金资助项目(52577155). (52577155)

电力系统及其自动化学报

1003-8930

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